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CMAC Neural Network and Its Use in Problems of Identification and Control of Nonlinear Dynamic Objects

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Abstract

Efficient use of CMAC (Cerebellar Model Articulation Controller) for identification and real-time control of nonlinear dynamical systems is demonstrated. An on-line weight training algorithm is proposed. The results of modelling and controlling nonlinear objects with unknown dynamics testify to the efficiency of this network.

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Authors and Affiliations

  1. Kharkov National University of Radioelectronics, Kharkov, Ukraine

    O. G. Rudenko & A. A. Bessonov

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  1. O. G. Rudenko
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  2. A. A. Bessonov
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Translated from Kibernetika i Sistemnyi Analiz, No. 5, pp. 16–28, September–October 2005.

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Rudenko, O.G., Bessonov, A.A. CMAC Neural Network and Its Use in Problems of Identification and Control of Nonlinear Dynamic Objects. Cybern Syst Anal 41, 647–658 (2005). https://doi.org/10.1007/s10559-006-0002-x

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  • DOI: https://doi.org/10.1007/s10559-006-0002-x

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